Che-Lin Su is interested in developing and applying computational methods to study applications that arise in operations management, economics, and quantitative marketing. His current research topics include empirical estimation of single-agent dynamic discrete choices models in call centers and health care settings, and dynamic entry/exit games.
His research papers have been published in Operations Research, Management Science, Econometrica, and Quantitative Marketing and Economics. He has taught a PhD course in computational economics in the Department of Economics at Harvard University and Yale University, and has given tutorials and short courses at Chicago-Argonne Initiative on Computational Economics (since 2007), Zurich Initiative on Computational Economics (2013 - 2015), University of Rochester (Simon School of Business), Tilburg University (Department of Econometrics and Operations Research), University of Southern California (Marshall School of Business), and Norwegian University of Science and Technology.
Su earned a PhD in management science and engineering in 2005 from Stanford University. Before joining the Chicago Booth faculty in 2008, he was a postdoctoral research fellow at the Center for Mathematical Studies in Economics and Management Science at the Kellogg School of Management at Northwestern University and the National Bureau of Economic Research in Cambridge, Massachusetts. He has held visiting positions at Harvard University (Department of Economics) and Yale University (Department of Economics and Cowles Foundation), and has consulted for the Chief Economist Team of Directorate General for Competition of the European Commission. In 2001, he worked as a manager in strategic planning and portfolio management at the Bristol-Myers Squibb Company.
2014 - 2015 Course Schedule
||Numerical Methods in Economics
||Managerial Decision Modeling
Baseball, music, movies, Facebook.
Structural estimation with applications in operations management; executive compensation design; nonlinear pricing; computational optimization.
With Christopher S. Armstrong and David F. Larcker, "Endogenous Selection and Moral Hazard In Compensation Contracts" Operations Research (2010).
With Kenneth L. Judd, "Constrained optimization approaches to estimation of structural models" Econometrica (2012).
With Jean-Pierre Dube and Jeremy T. Fox, "Improving the numerical performance of BLP static and dynamic demand estimation" Econometrica (2012).
For a listing of research publications please visit
’s university library listing